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Computer Science Analyst Jobs in Louisiana (NOW HIRING)

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

They are seeking a Junior Quality Assurance Analyst to collaborate with cross-functional teams in ... S. citizen โ€ข BA/BS in Computer Science or a related field โ€ข Knowledge of Quality Assurance ...

Senior Sales Analyst

Baton Rouge, LA ยท On-site

$80K - $86K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Math, Sciences, or a related field (Master's degree preferred). * 2+ years of experience in analytics, commercial ...

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Computer Science Analyst information

See Louisiana salary details

$12

$29

$56

How much do computer science analyst jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for computer science analyst in Louisiana is $29.12, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $33.89 per hour, depending on experience, location, and employer.

How do I become an IT analyst?

To become a computer science analyst, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data analysis, programming languages, and IT systems is important, along with certifications such as CompTIA or Cisco. Strong analytical skills and knowledge of database management and cybersecurity are also valuable for this role.

How does a Computer Science Analyst typically collaborate with other departments within an organization?

Computer Science Analysts frequently work cross-functionally, partnering with teams such as software development, IT, and business operations to analyze data, improve systems, and implement technology solutions. They often act as a bridge between technical specialists and non-technical stakeholders, translating business needs into actionable technical requirements. Effective communication and collaboration are crucial, as analysts may participate in meetings, provide regular updates, and help troubleshoot challenges that arise during project implementation.

Is computer science dead due to AI?

As a Computer Science Analyst, the field remains vital as AI advances, requiring expertise in algorithms, programming, and data analysis. AI creates new opportunities for software development, research, and system design, making computer science an evolving and essential discipline.

What are the key skills and qualifications needed to thrive as a Computer Science Analyst, and why are they important?

To thrive as a Computer Science Analyst, you need a solid background in programming, data analysis, and problem-solving, usually supported by a degree in computer science or a related field. Familiarity with analytical tools such as SQL, Python, data visualization software, and sometimes certifications like CompTIA Data+ or Microsoft Certified: Data Analyst Associate is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this position. These skills ensure that analysts can interpret complex data, provide actionable insights, and collaborate effectively to support organizational goals.

What does a computer science analyst do?

A computer science analyst evaluates and develops computer systems, software, and data solutions to improve organizational efficiency. They analyze technical requirements, design algorithms, and may use programming languages and tools like SQL or Python to implement solutions, often working in teams and adhering to project deadlines.

Will AI replace system analyst?

A computer science analyst, including system analysts, works to design and improve information systems. While AI can automate certain tasks like data analysis and system monitoring, human analysts are essential for understanding complex business needs, making strategic decisions, and managing system implementation. Therefore, AI is more likely to augment rather than fully replace system analysts.
What are popular job titles related to Computer Science Analyst jobs in Louisiana? For Computer Science Analyst jobs in Louisiana, the most frequently searched job titles are:
What job categories do people searching Computer Science Analyst jobs in Louisiana look for? The top searched job categories for Computer Science Analyst jobs in Louisiana are:
Infographic showing various Computer Science Analyst job openings in Louisiana as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $60,571 per year, or $29.1 per hour.
Marketing Operations Analyst

Marketing Operations Analyst

FocusKPI

Baton Rouge, LA โ€ข On-site

Full-time

Posted 13 days ago


Job description

FocusKPI is looking for aย Marketing Operations Analystย to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, youโ€™ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelorโ€™s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered


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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010